ArticleJMIR human factors2022
Evaluating User Feedback for an Artificial Intelligence-Enabled, Cognitive Behavioral Therapy-Based Mental Health App (Wysa): Qualitative Thematic Analysis.
Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07167056 (Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer), which is not on this map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer
Who cites it
21 citing papers in PubMed.
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- From promise to practice: artificial intelligence in mental health care in the MENA region.Frontiers in psychiatry · 2026Review
- Development and usability evaluation of an audio-based cognitive behavioral therapy mobile app for depression in hemodialysis patients.BMC psychology · 2025Article
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- The Digital Therapeutic Alliance With Mental Health Chatbots: Diary Study and Thematic Analysis.JMIR mental health · 2025Article
- A Comprehensive Comparison and Evaluation of AI-Powered Healthcare Mobile Applications' Usability.Healthcare (Basel, Switzerland) · 2025Article
- Dropout and completion in iCBT for university students: Insights from a thematic analysis.Internet interventions · 2025Article
- Digital Mental Health Interventions for Adolescents and Young People: Evaluating Efficacy and Accessibility.Cureus · 2025Review
- "It happened to be the perfect thing": experiences of generative AI chatbots for mental health.Npj mental health research · 2024Article
- User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform 'mindline at workBMJ health & care informatics · 2024Article
- AI-Led Mental Health Support (Wysa) for Health Care Workers During COVID-19: Service Evaluation.JMIR formative research · 2024Article
- User perceptions and experiences of an AI-driven conversational agent for mental health support.mHealth · 2024Article
- Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions - A Narrative Review for a Comprehensive Insight.Risk management and healthcare policy · 2024Review
- Behavioral Mechanisms That Mediate Mental and Physical Health Improvements in People With Chronic Pain Who Receive a Digital Health Intervention: Prospective Cohort Pilot Study.JMIR formative research · 2023Article
- Understanding Digital Mental Health Needs and Usage With an Artificial Intelligence-Led Mental Health App (Wysa) During the COVID-19 Pandemic: Retrospective Analysis.JMIR formative research · 2023Article
- Understanding the impact of an AI-enabled conversational agent mobile app on users' mental health and wellbeing with a self-reported maternal event: a mixed method real-world data mHealth study.Frontiers in global women's health · 2023Article
- Qualitative analysis of mental health conversational agents messages about autism spectrum disorder: a call for action.Frontiers in digital health · 2023Article
- Delivery of a Mental Health Intervention for Chronic Pain Through an Artificial Intelligence-Enabled App (Wysa): Protocol for a Prospective Pilot Study.JMIR research protocols · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDigital mental health apps are rapidly becoming a common source of accessible support across the world, but their effectiveness is often influenced by limited helpfulness and engagement.
objectiveThis study's primary objective was to analyze feedback content to understand users' experiences with engaging with a digital mental health app. As a secondary objective, an exploratory analysis captured the types of mental health app users.
methodsThis study utilized a user-led approach to understanding factors for engagement and helpfulness in digital mental health by analyzing feedback (n=7929) reported on Google Play Store about Wysa, a mental health app (1-year period). The analysis of keywords in the user feedback categorized and evaluated the reported user experience into the core domains of acceptability, usability, usefulness, and integration. The study also captured key deficits and strengths of the app and explored salient characteristics of the types of users who benefit from accessible digital mental health support.
resultsThe analysis of user feedback found the app to be overwhelmingly positively reviewed (6700/7929, 84.50% 5-star rating). The themes of engaging exercises, interactive interface, and artificial intelligence (AI) conversational ability indicated the acceptability of the app, while the nonjudgmentality and ease of conversation highlighted its usability. The app's usefulness was portrayed by themes such as improvement in mental health, convenient access, and cognitive restructuring exercises. Themes of privacy and confidentiality underscored users' preference for the integrated aspects of the app. Further analysis revealed 4 predominant types of individuals who shared app feedback on the store.
conclusionsUsers reported therapeutic elements of a comfortable, safe, and supportive environment through using the digital mental health app. Digital mental health apps may expand mental health access to those unable to access traditional forms of mental health support and treatments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.